Evidence map›Paper›PMID 30075203›Full record

ArticleMetabolic engineering2018

Gut microbiota dysbiosis is associated with malnutrition and reduced plasma amino acid levels: Lessons from genome-scale metabolic modeling.

Manish Kumar, Boyang Ji, Parizad Babaei, Promi Das, Dimitra Lappa, Girija Ramakrishnan, Todd E Fox, Rashidul Haque, William A Petri, Fredrik Bäckhed and 1 more

Open access · greenAbstract read
In one paragraph

Article in Metabolic engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 105 citations in OpenAlex.

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  20. A long journey to treat epilepsy with the gut microbiota.Frontiers in cellular neuroscience · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 4 countries.

Manish KumarDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden.
Boyang JiDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden.
Parizad BabaeiDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden.
Promi DasDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden.
Dimitra LappaDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden.
Girija RamakrishnanDepartment of Medicine/Division of Infectious Diseases, and University of Virginia, Charlottesville, VA, USA.
Todd E FoxDepartment of Pharmacology, University of Virginia, Charlottesville, VA, USA.
Rashidul HaqueInternational Centre for Diarrheal Disease Research, Dhaka, Bangladesh.
William A PetriDepartment of Medicine/Division of Infectious Diseases, and University of Virginia, Charlottesville, VA, USA.
Fredrik BäckhedThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, University of Gothenburg, 41345 Gothenburg, Sweden; Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Receptology and Enteroendocrinology, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE41128 Gothenburg, Sweden; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK2800 Lyngby, Denmark. Electronic address: nielsenj@chalmers.se.
Chalmers University of Technology · SEUniversity of Virginia · USInternational Centre for Diarrhoeal Disease Research · BDUniversity of Gothenburg · SE

Funding

FIELD STUDIES OF IMMUNITY TO AMEBIASIS IN BANGLADESHR01AI043596 · NIAID · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI CAROL A GILCHRIST, William A Petri · 1998 to 2026
$7.7M
NIAID NIH HHS R01 AI043596
6 · The paper itself

Abstract

Malnutrition is a severe non-communicable disease, which is prevalent in children from low-income countries. Recently, a number of metagenomics studies have illustrated associations between the altered gut microbiota and child malnutrition. However, these studies did not examine metabolic functions and interactions between individual species in the gut microbiota during health and malnutrition. Here, we applied genome-scale metabolic modeling to model the gut microbial species, which were selected from healthy and malnourished children from three countries. Our analysis showed reduced metabolite production capabilities in children from two low-income countries compared with a high-income country. Additionally, the models were also used to predict the community-level metabolic potentials of gut microbes and the patterns of pairwise interactions among species. Hereby we found that due to bacterial interactions there may be reduced production of certain amino acids in malnourished children compared with healthy children from the same communities. To gain insight into alterations in the metabolism of malnourished (stunted) children, we also performed targeted plasma metabolic profiling in the first 2 years of life of 25 healthy and 25 stunted children. Plasma metabolic profiling further revealed that stunted children had reduced plasma levels of essential amino acids compared to healthy controls. Our analyses provide a framework for future efforts towards further characterization of gut microbial metabolic capabilities and their contribution to malnutrition.

Indexed as

Child Nutrition DisordersDysbiosisGastrointestinal MicrobiomeGenome, BacterialAmino AcidsChildChild, PreschoolFemaleHumansMaleAmino AcidsBacterial interactionsChild malnutritionGenome-scale metabolic modelingGut microbiotaMetabolic capabilitiesPlasma metabolic profiling

Identifiers

PMID30075203
PMCPMC6871511
OpenAlexW2885949449

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.